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MARC 21

An introduction to compressed sensing
Tag	Description
020	$a9781611976113
082	$a621.382
099	$a519.6 VID
100	$aVidyasagar, Mathukumalli$d1947-
245	$aAn introduction to compressed sensing$hM$cM. Vidyasagar
260	$aPhiladelphia$bSiam$c2020
300	$axi, 341 pages$c25 cm.
440	$aComputational science and engineering$v22
505	$aMathematical preliminaries -- Compressed sensing : problem formulations -- Null-space based conditions -- Concepts from graph theory -- Deterministic construction of measurement matrices -- Probabilistic construction of measurement matrices -- Matrix recovery and completion -- Some recent approaches to vector recovery -- Optimization algorithms -- Case studies.
520	$a"The intended audience for the book consists of those who are interested in applying the theory of compressed sensing to practical problems, as well as those whose aim is to make further advances in the theory"-- Provided by publisher.